Mustafa Coskun

Learn More
The effects of 0.001, 0.01, 0.1 and 0.5 ppm concentrations of malathion, an organophosphorus insecticide, viewed over the course of the experiment, on adult emergence and sex ratios of emerging adults of the parasitic wasp, Pimpla turionellae L. (Hymenoptera: Ichneumonidae) were investigated. Diets which contain 0.001 and 0.01 ppm malathion significantly(More)
The spectrum of EEG has been studied to predict the depth of anesthesia using variety of signal processing methods up to date. Those standard models have used the full spectrum of EEG signals together with the systolic-diastolic pressure and pulse values. As it is generally agreed today that the brain is in stable state and the delta-theta bands of the EEG(More)
Drug response prediction is a well-studied problem in which the molecular profile of a given sample is used to predict the effect of a given drug on that sample. Effective solutions to this problem hold the key for precision medicine. In cancer research, genomic data from cell lines are often utilized as features to develop machine learning models(More)
a r t i c l e i n f o a b s t r a c t The prominence of social media has contributed to open information access for the researchers. With voluntary information sharing structure of Twitter, user disposition and sentiment analyses can be performed for determining the emotional well-being of the citizens. In this respect, we adopted a sentiment analysis model(More)
Link prediction is an important and well-studiedproblem in network analysis, with a broad range of applicationsincluding recommender systems, anomaly detection, and denoising. The general principle in link prediction is to use thetopological characteristics of the nodes in the network to predictedges that might be added to or removed from the network. While(More)
Network proximity is at the heart of a large class of network analytics and information retrieval techniques, including node/ edge rankings, network alignment, and randomwalk based proximity queries, among many others. Owing to its importance, significant effort has been devoted to accelerating iterative processes underlying network proximity computations.(More)
This Article contains a typographical error in the Results section under the subheading 'Method Comparison'. " In order to better understand the accuracy of our method, we compare it against the top performing approach in the DREAM Drug Sensitivity Prediction Challenge, Gonen and Margolin's kernelized Bayesian multitask learning (KBMTL) algorithm 19 ".(More)
  • 1